The bioinformatics tag has no wiki summary.

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### Model of function of 2 random variables [closed]

In my model W = f(E, K). f is a complex function (several operations on E and K).
for any W, infinity pairs of (E, K) exist that satisfy f.
E and K are between [0, +oo]
I have observations for W ...

**2**

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**2**answers

448 views

### Industry jobs involving mathematics, machine learning and biology [closed]

I have a MSc in Mathematics and a PhD in Bioinformatics (in two different European countries); during the PhD I was developing computational methods to analyse DNA sequence data, mainly using a ...

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**1**answer

127 views

### Generating spatially-aware degree-preserving random graphs?

In the study of biological neural networks, researchers sometimes compare hypotheses vs. a degree-preserving random null model. One major criticism against this approach is that connections in neural ...

**1**

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**1**answer

286 views

### Maximal difference between k randomly drawn numbers from 1 to n – Looking for formula to sequence

Hello!
I have an interesting problem that seemed simple to me, but I'm unable to solve it on my own.
Suppose I am drawing k numbers out of n numbers labeled from 1 to n.
Considering all ...

**3**

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**1**answer

367 views

### Cover a line segment randomly with smaller line segments

Covering a circle randomly with arcs has been well studied in the past (Geometric Probability - Solomon).
But the problem when the circle is changed to a line segment doesn't seem to have been ...

**5**

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**3**answers

348 views

### MicroArray, tesing if a sample is the same with high variance data.

I'll explain the problem but what I am looking for is a few suggested methods to approach this problem.
You don't need to know what a microarray but if you are interested look here link text
The info ...

**4**

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**2**answers

1k views

### Correspondence between Viterbi algorithm and Smith-Waterman

Viterbi is an algorithm for finding the maximum likelihood assignment to the hidden variables of an HMM, given the observed variables (we know the transition and emission probabilities of the HMM). ...